Warehouse Automation Engineers
Construction, Maintenance & RepairAI exposure
- Data source: BLSPublished: 2026-08
Very high· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.037
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.37
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 53% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 77 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Troubleshoot new or existing product problems involving designs, materials, or processes.17-2112 | 0.040019.0 | —0 |
Assess the user-interface or usability characteristics of products.17-2112 | 0.030014.3 | 0.120014.0 |
Investigate or resolve operational problems, such as material use variances or bottlenecks.17-2112 | 0.02009.5 | 0.03003.5 |
Write, review, or comment on documents, such as proposals, test plans, or procedures.17-2112 | 0.02009.5 | 0.00000.0 |
Provide technical expertise or support related to manufacturing.17-2112 | 0.02009.5 | 0.00000.0 |
Evaluate manufactured products according to specifications and quality standards.17-2112 | 0.01004.8 | 0.530061.6 |
Analyze validation test data to determine whether systems or processes have met validation criteria or to identify root causes of production problems.17-2112 | 0.01004.8 | 0.120014.0 |
Design validation study features, such as sampling, testing, or analytical methodologies.17-2112 | 0.01004.8 | 0.01001.2 |
Review product designs for manufacturability or completeness.17-2112 | 0.01004.8 | 0.01001.2 |
Recommend methods for improving utilization of personnel, material, and utilities.17-2112 | 0.01004.8 | 0.00000.0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Complete production reports, purchase orders, and material, tool, and equipment lists.O*NET Task ID 1408 | 1.0 |
Analyze statistical data and product specifications to determine standards and establish quality and reliability objectives of finished product.O*NET Task ID 1391 | 0.5 |
Develop manufacturing methods, labor utilization standards, and cost analysis systems to promote efficient staff and facility utilization.O*NET Task ID 1392 | 0.5 |
Recommend methods for improving utilization of personnel, material, and utilities.O*NET Task ID 1393 | 0.5 |
Plan and establish sequence of operations to fabricate and assemble parts or products and to promote efficient utilization.O*NET Task ID 1394 | 0.5 |
Apply statistical methods and perform mathematical calculations to determine manufacturing processes, staff requirements, and production standards.O*NET Task ID 1395 | 0.5 |
Draft and design layout of equipment, materials, and workspace to illustrate maximum efficiency using drafting tools and computer.O*NET Task ID 1398 | 0.5 |
Review production schedules, engineering specifications, orders, and related information to obtain knowledge of manufacturing methods, procedures, and activities.O*NET Task ID 1399 | 0.5 |
Communicate with management and user personnel to develop production and design standards.O*NET Task ID 1400 | 0.5 |
Formulate sampling procedures and designs and develop forms and instructions for recording, evaluating, and reporting quality and reliability data.O*NET Task ID 1402 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page